• 718
    Citations - based on content available in repository [source: Scopus]
20092024

Content available in repository

Personal profile

Research profile

Gijs Dubbelman is an Associate Professor heading the Mobile Perception Systems (MPS) lab at the Signal Processing Systems (SPS) group of Eindhoven University of Technology. The MPS lab focuses on AI technologies that allow mobile sensor platforms to perceive and understand the world around them. Key research areas of MPS are computer vision and machine learning and MPS has contributed to efficient vision transformers for dense prediction tasks and learnable Birds-Eye-View vision representations. Important application domains of MPS are self-driving vehicles and autonomous mobile robots.

Academic background

Gijs Dubbelman obtained his BSc in Information and Communication Technology and his MSc Degree cum laude in Artificial intelligence from the University of Amsterdam. In 2011 he obtained his PhD from the same university on the topic of intrinsic statistical techniques for robust pose estimation. He performed his PhD research on robust estimation of motion parameters from image data using intrinsic statistics in close cooperation with Intelligent Imaging department of the national organization of applied scientific research of the Netherlands (TNO), which funded the research. In 2011 and 2012 Gijs was a member of the internationally renowned Field Robotics Center of Carnegie Mellon's Robotics Institute. He worked in close collaboration with the National Robotics Engineering Center (NREC) and with CMU's Qatar campus. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities

Fingerprint

Dive into the research topics where Gijs Dubbelman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Best paper award

    van de Wouw, D. (Recipient), Pieck, M. A. R. (Recipient), Dubbelman, G. (Recipient) & de With, P. H. N. (Recipient), Feb 2017

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific